In a scatter chart, why might stores of the same size be represented by different colors?

In a scatter chart, different colors representing stores of the same size can effectively convey categorical information within the visual. When colors are used to signify different regions, it allows viewers to quickly identify geographic distinctions among data points. For example, a retailer might want to analyze performance across various locations, and using different colors for each region enables a clear visual representation of how each area is performing relative to others, despite all stores being similar in size.

This method enhances the interpretability of the data by grouping stores that share geographic characteristics, making it much easier for stakeholders to recognize patterns, trends, or anomalies based on regional data. The scatter chart thus transforms from mere size comparisons to a multidimensional analysis that includes geographic (or categorical) significance, enriching the overall insights drawn from the data visualization.